David B. Grimes, Ph.D.

Affiliations: 
2007 University of Washington, Seattle, Seattle, WA 
Area:
Computation & theory
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SNBCP

Parents

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Rajesh P. Rao grad student 2007 University of Washington
 (Learning by imitation and exploration: Bayesian models and applications in humanoid robotics.)
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Publications

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Chalodhorn R, Grimes DB, Grochow K, et al. (2010) Learning to walk by lmitation in low-dimensional subspaces Advanced Robotics. 24: 207-232
Grimes DB, Rao RPN. (2009) Learning actions through imitation and exploration: Towards humanoid robots that learn from humans Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5436: 103-138
Grimes D, Tan DS, Hudson SE, et al. (2008) Feasibility and pragmatics of classifying working memory load with an Electroencephalograph Conference On Human Factors in Computing Systems - Proceedings. 835-844
Grimes DB, Rao RPN. (2008) Learning nonparametric policies by imitation 2008 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 2022-2028
Cole JB, Grimes DB, Rao RPN. (2007) Learning full-body motions from monocular vision: Dynamic imitation in a humanoid robot Ieee International Conference On Intelligent Robots and Systems. 240-246
Chalodhorn R, Grimes DB, Grochow K, et al. (2007) Learning to walk through imitation Ijcai International Joint Conference On Artificial Intelligence. 2084-2090
Grimes DB, Rashid DR, Rao RPN. (2007) Learning nonparametric models for probabilistic imitation Advances in Neural Information Processing Systems. 521-528
Grimes DB, Chalodhorn R, Rao RPN. (2007) Dynamic imitation in a humanoid robot through nonparametric probabilistic inference Robotics: Science and Systems. 2: 199-206
Hoffman MW, Grimes DB, Shon AP, et al. (2006) A probabilistic model of gaze imitation and shared attention. Neural Networks : the Official Journal of the International Neural Network Society. 19: 299-310
Grimes DB, Rao RP. (2005) Bilinear sparse coding for invariant vision. Neural Computation. 17: 47-73
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